Ebc@sdZddlZddlmZddlmZddlmZddlm Z ddlm Z dd lm Z dd lm Z dd l mZdd lmZed ZejdejZejdZejdejZejdZejdejejBZyedddWn&ek rNejdZeZnXddl m!Ze"Ze dZ#e dZ$e dZ%e dZ&e dZ'e dZ(e dZ)e dZ*e d Z+e d!Z,e d"Z-e d#Z.e d$Z/e d%Z0e d&Z1e d'Z2e d(Z3e d)Z4e d*Z5e d+Z6e d,Z7e d-Z8e d.Z9e d/Z:e d0Z;e d1Z<e d2Z=e d3Z>e d4Z?e d5Z@e d6ZAe d7ZBe d8ZCe d9ZDe d:ZEe d;ZFe d<ZGe d=ZHe d>ZIe d?ZJe d@ZKe dAZLe dBZMe dCZNe dDZOe dEZPe dFZQe dGZRe dHZSie#dI6e;dJ6e'dK6e*dL6e3dM6e2dN6e6dO6e<dP6e.dQ6e8dR6e/dS6e9dT6e-dU6e7dV6e)dW6e4dX6e+dY6e,dZ6e0d[6e1d\6e$d]6e(d^6e%d_6e5d`6e&da6e:db6ZTeUge eTD]\ZVZWeWeVf^q}ZXeYeTeYeXkstZdcejddd`j[dee\eTdfdgDZ]e^eIeKeJe=eNeOePgZ_e^e=eQeKePgZ`dhZadiZbdjZcdkZddlZedmeffdnYZgdoehfdpYZie dqeffdrYZje dseffdtYZkduZldvehfdwYZmdxeffdyYZndS(zsImplements a Jinja / Python combination lexer. The ``Lexer`` class is used to do some preprocessing. It filters out invalid operators like the bitshift operators we don't allow in templates. It separates template code and python code in expressions. iN(t literal_eval(tdeque(t itemgetteri(timplements_iterator(tintern(t iteritems(t text_type(tTemplateSyntaxError(tLRUCachei2s\s+s (\r\n|\r|\n)s7('([^'\\]*(?:\\.[^'\\]*)*)'|"([^"\\]*(?:\\.[^"\\]*)*)")s (\d+_)*\d+s (?tevals[a-zA-Z_][a-zA-Z0-9_]*(tpatterntaddtassigntcolontcommatdivtdotteqtfloordivtgttgteqtlbracetlbrackettlparentlttlteqtmodtmultnetpipetpowtrbracetrbrackettrparent semicolontsubttildet whitespacetfloattintegertnametstringtoperatort block_begint block_endtvariable_begint variable_endt raw_begintraw_endt comment_begint comment_endtcommenttlinestatement_begintlinestatement_endtlinecomment_begintlinecomment_endt linecommenttdatatinitialteoft+t-t/s//t*t%s**t~t[t]t(t)t{t}s==s!=t>s>=tstkeycCs t| S(N(tlen(RS((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyttcCsx|tkrt|Si dt6dt6dt6dt6dt6dt6dt6dt6dt 6d t 6d t 6d t 6j ||S( Nsbegin of commentsend of commentR3sbegin of statement blocksend of statement blocksbegin of print statementsend of print statementsbegin of line statementsend of line statementstemplate data / textsend of template(treverse_operatorstTOKEN_COMMENT_BEGINtTOKEN_COMMENT_ENDt TOKEN_COMMENTtTOKEN_LINECOMMENTtTOKEN_BLOCK_BEGINtTOKEN_BLOCK_ENDtTOKEN_VARIABLE_BEGINtTOKEN_VARIABLE_ENDtTOKEN_LINESTATEMENT_BEGINtTOKEN_LINESTATEMENT_ENDt TOKEN_DATAt TOKEN_EOFtget(t token_type((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyt_describe_token_types   cCs#|jtkr|jSt|jS(s#Returns a description of the token.(ttypet TOKEN_NAMEtvalueRg(ttoken((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pytdescribe_tokenscCsGd|kr7|jdd\}}|tkr=|Sn|}t|S(s0Like `describe_token` but for token expressions.RLi(tsplitRiRg(texprRhRj((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pytdescribe_token_exprs   cCsttj|S(ssCount the number of newline characters in the string. This is useful for extensions that filter a stream. (RUt newline_retfindall(Rj((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pytcount_newlinesscCs tj}t|jt||jft|jt||jft|jt||jfg}|j dk r|j t|j t d||j fn|j dk r|j t|j td||j fngt|dtD]}|d^qS(sACompiles all the rules from the environment into a list of rules.s ^[ \t\v]*s(?:^|(?<=\S))[^\S\r\n]*treverseiN(RPRQRUtcomment_start_stringRYtblock_start_stringR]tvariable_start_stringR_tline_statement_prefixtNonetappendRatline_comment_prefixtTOKEN_LINECOMMENT_BEGINtsortedtTrue(t environmenttetrulesRS((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyt compile_ruless*      tFailurecBs#eZdZedZdZRS(sjClass that raises a `TemplateSyntaxError` if called. Used by the `Lexer` to specify known errors. cCs||_||_dS(N(tmessaget error_class(tselfRtcls((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyt__init__s cCs|j|j||dS(N(RR(Rtlinenotfilename((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyt__call__s(t__name__t __module__t__doc__RRR(((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyRs tTokencBs`eZdZdZdedD\ZZZdZdZ dZ dZ dZ RS( s Token class.ccs!|]}tt|VqdS(N(tpropertyR(RRRS((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pys sicCs%tj||tt||fS(N(ttuplet__new__Rtstr(RRRhRj((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyR scCs7|jtkrt|jS|jdkr0|jS|jS(NR((RhRXRj(R((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyt__str__ s  cCsE|j|krtSd|krA|jdd|j|jgkStS(sTest a token against a token expression. This can either be a token type or ``'token_type:token_value'``. This can only test against string values and types. RLi(RhR}RmRjtFalse(RRn((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyttests  "cGs(x!|D]}|j|rtSqWtS(s(Test against multiple token expressions.(RR}R(RtiterableRn((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyttest_any s cCsd|j|j|jfS(NsToken(%r, %r, %r)(RRhRj(R((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyt__repr__'s(( RRRt __slots__trangeRRhRjRRRRR(((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyRs   tTokenStreamIteratorcBs)eZdZdZdZdZRS(s`The iterator for tokenstreams. Iterate over the stream until the eof token is reached. cCs ||_dS(N(tstream(RR((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyR1scCs|S(N((R((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyt__iter__4scCsE|jj}|jtkr4|jjtnt|j|S(N(RtcurrentRhRdtcloset StopIterationtnext(RRk((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyt__next__7s     (RRRRRR(((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyR+s  t TokenStreamcBseZdZdZdZdZeZedZdZ dZ ddZ d Z d Z d Zd Zd ZRS(sA token stream is an iterable that yields :class:`Token`\s. The parser however does not iterate over it but calls :meth:`next` to go one token ahead. The current active token is stored as :attr:`current`. cCsYt||_t|_||_||_t|_tdt d|_ t |dS(NiRW( titert_iterRt_pushedR(RRtclosedRt TOKEN_INITIALRR(Rt generatorR(R((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyRGs    cCs t|S(N(R(R((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyRPscCst|jp|jjtk S(N(tboolRRRhRd(R((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyt__bool__SscCs| S(s Are we at the end of the stream?((R((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyteosXscCs|jj|dS(s Push a token back to the stream.N(RRy(RRk((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pytpush]scCs/t|}|j}|j|||_|S(sLook at the next token.(RRR(Rt old_tokentresult((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pytlookas     icCs%xt|D]}t|q WdS(sGot n tokens ahead.N(RR(Rtnt_((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pytskipiscCs |jj|rt|SdS(sqPerform the token test and return the token if it matched. Otherwise the return value is `None`. N(RRR(RRn((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pytnext_ifnscCs|j|dk S(s8Like :meth:`next_if` but only returns `True` or `False`.N(RRx(RRn((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pytskip_ifuscCst|j}|jr'|jj|_nI|jjtk rpyt|j|_Wqptk rl|jqpXn|S(s|Go one token ahead and return the old one. Use the built-in :func:`next` instead of calling this directly. ( RRtpopleftRhRdRRRR(Rtrv((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyRys   cCs1t|jjtd|_d|_t|_dS(sClose the stream.RWN(RRRRdRxRR}R(R((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyRs cCs|jj|st|}|jjtkrXtd||jj|j|jntd|t |jf|jj|j|jnz |jSWdt |XdS(s}Expect a given token type and return it. This accepts the same argument as :meth:`jinja2.lexer.Token.test`. s(unexpected end of template, expected %r.sexpected token %r, got %rN( RRRoRhRdRRR(RRlR(RRn((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pytexpects     (RRRRRRt __nonzero__RRRRRRRRRR(((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyR@s         c Cs|j|j|j|j|j|j|j|j|j|j |j |j f }t j |}|dkrt|}|t |%s(\-|\+|)\s*raw\s*(?:\-%s\s*|%s))s(?P<%s>%s(\-|\+|))s#bygroups.+troots(.*?)((?:\-%s\s*|%s)%s)s#pops(.)sMissing end of comment tags(?:\-%s\s*|%s)%ss \-%s\s*|%ss1(.*?)((?:%s(\-|\+|))\s*endraw\s*(?:\-%s\s*|%s%s))sMissing end of raw directives \s*(\n|$)s(.*?)()(?=\n|$)(,RPRQt whitespace_retTOKEN_WHITESPACERxtfloat_ret TOKEN_FLOATt integer_ret TOKEN_INTEGERtname_reRit string_ret TOKEN_STRINGt operator_retTOKEN_OPERATORRRRtlstrip_unless_reRRtjoinRuRRRcRR[RZRRYR^R]RR`R_t TOKEN_RAW_ENDtTOKEN_RAW_BEGINRbRaR\tTOKEN_LINECOMMENT_ENDR{R( RR~RRt tag_rulestroot_tag_rulestblock_suffix_reRtr((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyRs~            +     "           "  cCstj|j|S(s@Called for strings and template data to normalize it to unicode.(RpR#R(RRj((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyt_normalize_newlinesascCs7|j||||}t|j|||||S(s:Calls tokeniter + tokenize and wraps it in a token stream.(t tokeniterRtwrap(RtsourceR(RtstateR((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyttokenizeesc csx|D]\}}}|tkr(qn|tkr=t}n|tkrRt}n|ttfkrjqnh|tkr|j|}nJ|dkr|}n5|t krt |}t r|j rt d|||qn|tkrky/|j|dd!jddjd}Wqtk rg}t |jddj}t ||||qXng|tkrt|jd d }n@|tkrt|jd d }n|tkrt|}nt|||VqWd S( sThis is called with the stream as returned by `tokenize` and wraps every token in a :class:`Token` and converts the value. tkeywordsInvalid character in identifieriitasciitbackslashreplacesunicode-escapeRLRRWN(tignored_tokensRaR]RbR^RRRcRRiRt check_identt isidentifierRRtencodetdecodet ExceptionRmtstripRtinttreplaceRRRt operatorsR( RRR(RRRkRjRtmsg((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyRjsB                 c cst|}|j}|jr[|r[x1d D]&}|j|r.|jdPq.q.Wndj|}d}d}dg} |dk r|dkr|d!kstd | j|d n|j| d } t |} g} |j } d}t }xx| D]q\}}}|j ||}|dkr8qn| rY|t ttfkrYqnt|try|j}t|tr{|d}td |dddD}|dkr|j}|t |jd}|f|d}q{|dkr{| dk r{|jjt r{|jdd}|dksH|rx| j||su|| f|d}quqxq{nx t|D]\}}|jtkr|||q|dkr(xt|jD]=\}}|dk r|||fV||jd7}PqqWt d|q||}|sD|t!krU|||fVn||jd|7}d}qWn|j"}|t#krS|dkr| jdqS|dkr| jdqS|dkr| jdqS|d"krS| st$d||||n| j%}||krPt$d||f|||qPqSn|se|t!krv|||fVn||jd7}|j"d dk}|j&}|dk rP|dkr| j%nl|dkr/x]t|jD])\}}|dk r| j|PqqWt d|n | j||j| d } n||krot d|n|}PqW|| krdSt$d|||f|||qWdS(#sThis method tokenizes the text and returns the tokens in a generator. Use this method if you just want to tokenize a template. s s s RWiiRtvariabletblocks invalid statet_beginicss!|]}|dk r|VqdS(N(Rx(RRtg((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pys siNR=R<s#bygroups?%r wanted to resolve the token dynamically but no group matchedRFRGRDRERBRCsunexpected '%s'sunexpected '%s', expected '%s's#popsC%r wanted to resolve the new state dynamically but no group matcheds,%r yielded empty string without stack changesunexpected char %r at %d(s s s (RR(RGRERC('Rt splitlinesRtendswithRyRRxtAssertionErrorRRURR}tmatchR`R^Rbt isinstanceRtgroupsRRtrstriptcountt groupdictReR_trfindtsearcht enumeratet __class__RRt RuntimeErrortignore_if_emptytgroupRRtpoptend( RRR(RRtlinestnewlinetposRtstackt statetokenst source_lengthtbalancing_stackRtnewlines_strippedt line_startingtregexttokenst new_statetmRttextt strip_signtstrippedtl_postidxRkRTRjR9t expected_optpos2((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyRs             #    !                         N( RRRRRRxRRR(((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyRs  ,(oRRPtastRt collectionsRR*Rt_compatRRRRt exceptionsRtutilsRRRtURRpRRRt IGNORECASEtVERBOSERt SyntaxErrorRRRt _identifierR R}t TOKEN_ADDt TOKEN_ASSIGNt TOKEN_COLONt TOKEN_COMMAt TOKEN_DIVt TOKEN_DOTtTOKEN_EQtTOKEN_FLOORDIVtTOKEN_GTt TOKEN_GTEQt TOKEN_LBRACEtTOKEN_LBRACKETt TOKEN_LPARENtTOKEN_LTt TOKEN_LTEQt TOKEN_MODt TOKEN_MULtTOKEN_NEt TOKEN_PIPEt TOKEN_POWt TOKEN_RBRACEtTOKEN_RBRACKETt TOKEN_RPARENtTOKEN_SEMICOLONt TOKEN_SUBt TOKEN_TILDERRRRiRRR]R^R_R`RRRYRZR[RaRbR{RR\RcRRdRtdicttktvRXRURRR|Rt frozensetRRRgRlRoRrRtobjectRRRRRRRR(((sd/var/www/html/facial-emotion-detection-webapp-main/flask/lib/python2.7/site-packages/jinja2/lexer.pyts                                                       1$/     ) (f